TreeWAS – [Z35.8] Supervision of other high-risk pregnancies

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.591	0.409	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.577	0.422	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.551	0.449	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.551	0.449	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.547	0.452	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.520	0.480	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.488	0.511	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.473	0.527	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.469	0.531	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.468	0.532	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.438	0.562	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.435	0.565	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.426	0.574	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.425	0.575	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.415	0.584	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.402	0.598	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.396	0.604	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.370	0.630	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.366	0.634	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.359	0.640	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.354	0.646	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.337	0.663	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.268	0.732	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.254	0.746	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.218	0.782	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.197	0.803	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.193	0.807	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.189	0.811	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.178	0.822	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.167	0.833	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.157	0.842	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.156	0.843	0.001
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.148	0.852	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.140	0.860	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.136	0.864	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.134	0.866	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.127	0.873	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.114	0.886	0.001
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.104	0.896	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.094	0.906	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.092	0.908	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.090	0.909	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.073	0.925	0.001
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.067	0.932	0.001
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.067	0.933	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.064	0.935	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.061	0.939	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.052	0.948	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.049	0.951	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.048	0.951	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.046	0.954	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.043	0.957	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.043	0.957	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.042	0.958	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.037	0.963	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.030	0.970	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.030	0.970	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.025	0.974	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.024	0.976	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.022	0.977	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.016	0.984	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.011	0.989	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.010	0.990	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.009	0.991	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.009	0.991	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.992	0.007
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.007	0.993	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.007	0.993	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.006	0.994	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.994	0.006
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.005	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.005	0.995	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.005	0.995	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.005	0.995	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.005	0.995	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.996	0.004
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.004	0.996	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.003	0.996	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.003	0.996	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	0.997	0.003
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.003	0.997	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.003	0.997	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.002	0.998	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.998	0.002
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	0.998	0.002
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	0.998	0.002
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.002	0.998	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.002	0.998	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.002	0.998	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.002	0.998	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	0.998	0.002
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	0.998	0.002
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.998	0.002
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.002	0.998	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	0.998	0.002
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.001	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.001	0.999	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.999	0.001
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.001
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.001	0.999	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	0.999	0.001
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.001	0.999	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.001
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.999	0.001
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.001	0.999	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.001	0.999	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	0.999	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.999	0.001
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.001	0.999	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	0.999	0.001
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.001	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	0.999	0.001
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.001	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.001	0.999	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.001	0.999	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	0.999	0.001
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	0.999	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.001	0.999	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	0.999	0.001
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.001	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	0.999	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.001	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.001	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.001	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.001	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	0.999	0.001
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.001
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.999	0.001
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	0.999	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	0.999	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	0.999	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	0.999	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	0.999	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	0.999	0.000
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rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000

This table lists the top 491 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2113

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0831

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0773

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9979

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9973

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9772

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9575

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9409

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9347

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9311

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9181

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9033

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8952

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8782

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8768

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8733

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8666

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8663

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8551

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8543

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8542

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8432

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8360

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8308

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8296

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8234

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8119

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8097

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8084

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8049

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7788

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7776

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7749

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7733

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7579

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7533

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7522

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7512

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7501

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7427

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7299

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7285

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7263

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7155

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7155

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7149

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7134

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7131

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7126

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7096

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7096

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7091

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7080

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7078

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7055

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7009

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7001

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6982

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6968

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6913

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6885

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6872

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6868

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6856

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6836

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6806

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6793

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6755

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6701

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6634

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6539

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6502

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6387

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6377

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6329

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6327

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6320

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6296

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6207

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6114

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5991

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5974

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5867

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5853

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5775

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5733

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5657

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5595

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5551

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5503

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5491

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5195

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5148

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5006

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4954

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4772

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4736

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4712

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4682

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4637

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4245

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4092

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3971

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3743

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3685

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3440

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3391

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3332

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3117

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3071

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3061

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3060

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2968

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2668

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2612

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2564

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2437

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2250

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2242

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2185

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2173

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2123

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2121

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2118

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2089

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2089

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2061

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2044

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2019

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1890

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1835

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1647

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1639

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1595

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1534

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1466

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1459

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1391

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1364

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1336

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1212

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1178

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1062

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0859

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0852

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0682

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0602

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0551

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0539

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0536

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)